Model Comparison
DeepSeek-V4-Flash-Max vs Kimi K3Which is better in 2026?
Kimi K3 significantly outperforms across most benchmarks. DeepSeek-V4-Flash-Max is 48.0x cheaper per token.
Verdict: DeepSeek-V4-Flash-Max vs Kimi K3 — which is better?
DeepSeek-V4-Flash-Max (by DeepSeek) and Kimi K3 (by Moonshot AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
DeepSeek-V4-Flash-Max outperforms in 0 benchmarks, while Kimi K3 is better at 6 benchmarks (BrowseComp, GDPval-AA, GPQA, Humanity's Last Exam, MCP Atlas, Toolathlon). Kimi K3 significantly outperforms across most benchmarks.
On price, DeepSeek-V4-Flash-Max is roughly 48.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Choose DeepSeek-V4-Flash-Max if…
- cost matters — it's about 48.0x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Kimi K3 if…
- you want the strongest raw capability — it leads on 6 of 6 shared benchmarks
- you want the most recent training data — it shipped Jul 2026
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Flash-Max outperforms in 0 benchmarks, while Kimi K3 is better at 6 benchmarks (BrowseComp, GDPval-AA, GPQA, Humanity's Last Exam, MCP Atlas, Toolathlon).
Kimi K3 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-Max ($0.10/1M tokens) is 30.0x cheaper than Kimi K3 ($3.00/1M tokens).
For output processing, DeepSeek-V4-Flash-Max ($0.20/1M tokens) is 75.0x cheaper than Kimi K3 ($15.00/1M tokens).
In conclusion, Kimi K3 is more expensive than DeepSeek-V4-Flash-Max.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K3 has 2516.0B more parameters than DeepSeek-V4-Flash-Max, making it 885.9% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. Kimi K3 can generate longer responses up to 1,048,576 tokens, while DeepSeek-V4-Flash-Max is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Kimi K3 supports multimodal inputs, whereas DeepSeek-V4-Flash-Max does not.
Kimi K3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-Max
Kimi K3
Release Timeline
When each model was launched
DeepSeek-V4-Flash-Max was released on 2026-04-23, while Kimi K3 was released on 2026-07-16.
Kimi K3 is 3 months newer than DeepSeek-V4-Flash-Max.
Apr 23, 2026
2 months ago
Jul 16, 2026
1 days ago
2mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Flash-Max is available from DeepInfra, DeepSeek, Fireworks, Novita. Kimi K3 is available from Moonshot AI.
DeepSeek-V4-Flash-Max
Kimi K3
Outputs Comparison
Key Takeaways
Kimi K3
View detailsMoonshot AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-Max and Kimi K3 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek-V4-Flash-Max vs Kimi K3.